17 debuts in the last 10 days, none worth rostering yet.
17 players made their major-league debut in the last 10 days. 5 of them are on the ranked board at all, which is the number that matters: a debut generates far more roster churn than it usually deserves, and the engine only carries roughly 1,300 players because most call-ups do not project startable value in their first weeks.
| Player | Pos | Debut | Proj pts | Value | Verdict |
|---|---|---|---|---|---|
| Max Clark | OF/DH | Jul 31 | 51 | 30 | Watch |
| Quinn Mathews | P | Aug 1 | 19 | 15 | Watch |
| Angel Genao | 2B | Aug 5 | 32 | 6 | Watch |
| Nick Frasso | P | Aug 4 | 50 | 4 | Watch |
| George Lombard Jr. | SS | Aug 4 | 23 | 4 | Watch |
| Alex Cook | P | Jul 31 | - | unranked | Not yet |
| Antoine Kelly | P | Jul 31 | - | unranked | Not yet |
| Luke Murphy | P | Jul 31 | - | unranked | Not yet |
| Nate Furman | 2B | Aug 1 | - | unranked | Not yet |
| Nolan Kingham | P | Aug 3 | - | unranked | Not yet |
| Kenny Piper | C | Aug 3 | - | unranked | Not yet |
| Christian Franklin | LF | Aug 4 | - | unranked | Not yet |
| Nate Lavender | P | Aug 4 | - | unranked | Not yet |
| Eddys Leonard | SS | Aug 4 | - | unranked | Not yet |
| Héctor Rodríguez | LF | Aug 4 | - | unranked | Not yet |
| Andrew Pinckney | LF | Aug 5 | - | unranked | Not yet |
_Showing 16 of 17._
That is the honest read, and it is the usual one. Being absent from the board is a projection in itself, the engine sees no startable value yet, not that it has failed to notice him. A debut is the start of a sample, and the players worth adding off one are rare enough that treating every call-up as an opportunity costs more roster spots than it wins.
Max Clark carries a value of 30 in a league where 134 is roughly the last rostered player. That is the headline of this table, and it is a discouraging one. The best debut of the past week, the one name most readers already know, is priced at less than a quarter of the way to a startable 12-team roster spot. Everyone else is worse. Mathews sits at 15, Genao at 6, and Frasso and Lombard at 4 apiece. Eleven of the sixteen are not carried at all.
The mechanism is not mystery, it is arithmetic. A player who came up on July 31 has two months of schedule left, and a projection has to spread whatever it believes about him across that stub. Even a hitter the engine likes cannot bank enough plate appearances to matter in a season-long format, and a rookie starter is worse still: fewer turns, a shorter leash, and a bullpen behind him that is not his to control. So the 30 next to Clark is not really a talent verdict. It is a talent verdict multiplied by a very small number of games. Read it as playing time, not scouting.
The case against me is the obvious one, and it is decent. Values built off a full-season frame are averages over the range of outcomes, and roster decisions in August are not about averages. If Clark hits the ground running and bats leadoff, the stolen bases and runs land in your lineup at exactly the moment the categories are settling, and a 30 will look absurd in hindsight. Projections regress rookies hard because most rookies deserve it. They are wrong on the ones who don't, in exactly this direction. If your team needs a category rather than a level, the tail is what you are buying and the middle of the distribution is beside the point.
What would tell you which of us is right shows up quickly. Watch where Clark hits and whether he sits against left-handed pitching. A rookie outfielder batting first or second every day is a different asset from one hitting seventh in a platoon, and two weeks is enough to know which he is. If he is still starting daily near the top of the order in mid-August, the 30 is stale and you add him. If he has been dropped to the bottom of the order or is getting four starts a week, the number was right and the roster spot was better used elsewhere. Same test for Genao and Lombard: everyday middle infielder, or not.
So the practical answer is that Clark is the only speculative add here, and only if the spot is genuinely free. He is the one name on this list where the gap between what the engine will pay and what a competitor will pay is large enough to be interesting, and the cost of being wrong is one waiver claim and a week of a bench slot. Mathews at 15 I would leave alone unless a rookie starter's ratios are somehow an upgrade on what you are already running, which for most contending rosters they are not.
The other eleven are unranked, and unranked in early August means the engine sees no path to relevance in the games remaining, not that it dislikes them long term. Ignore them in redraft. In a keeper or dynasty league the calculation is completely different and this table does not speak to it at all. Do not confuse a zero for the rest of 2026 with a zero forever.
Value is the replacement-adjusted number the boards sort on. Roughly 134 is the 300th-ranked player, the last man rostered in a standard 12-team league, so anything below that is a free agent whatever the prospect pedigree says.
A player missing from the table entirely has not debuted in this window. A player in it marked unranked has debuted and is not projected to be startable yet; that can change quickly with playing time, and this piece runs daily.
Curated picks where the model has the highest decision conviction. Updated every render.
Run rankings to populate Market Edge.
Run rankings first.
Mark a player as drafted to get a recommendation.
Studies and awards - the research-side surfaces of the managr platform.
Live snapshot of the projection system.
Backtest, parsimony, ablation, and benchmark - one synthesized report. Output renders in Validation.
Final Value = Raw Projection × MasterConfidence × TeamContext. Each layer answers one question - no overlap.
Recency weighting: prior seasons contribute by recency (more recent = more weight) and sample size (more PA = more weight).
Shrinkage: observed rates regress toward position-specific population means by an amount inversely proportional to sample size. Catches small-sample outliers.
Quality-of-contact adjustments: xwOBA, barrel rate, and bat-tracking metrics replace luck-driven outcome stats with skill-driven ones.
PT modeling: projected PA is anchored to workload tier (full-time, regular, platoon, backup catcher) using historical role distributions.
Monte Carlo: N simulated seasons per player using projected mean + uncertainty, producing P10 / P50 / P90 distribution and bust%.
Confidence layers: four orthogonal multipliers: Roster (depth chart), Role (PT certainty), Sample (career PA), Market (consensus alignment). The Audit tab shows all four for every player.
VAR: Value Above Replacement at the player's primary position. Replacement levels are floored per position so SS scarcity doesn't artificially inflate stable middle infielders.
Tune component weights against historical seasons. Stored in session.
-
-
-
Walk-forward backtests, calibration quality, and benchmark comparisons. Run walk-forward first - most tools depend on its pair pool.
Projects every historical batter-season from prior data only. Reports RMSE, MAE, Spearman ρ, hit rates. Populates the pair pool other validators use.
Walk-forward over historical seasons. Reports RMSE, MAE, Spearman ρ, top-N hit rates.
Distribution, uncertainty, per-archetype performance, calibrated tiers, draft sim.
Load any rival projection or ADP source. Auto-detects player_name + rank / adp / projected.
Where the model finds value the market is missing.
Curated picks from current rankings.
Where the model has measurable advantage.
The safety layer. Realism, false-confidence, forensics - what to remove.
The most important governance tools. Output renders in Validation.
Per-era ablation, error clusters, bias, correlations, removals. Each tells you what to remove. Run walk-forward first.
The smallest model that retains predictive power. Every feature beats the burden of proof.
Live pipeline status and data freshness.
-
Last known status of each underlying data source.
Source status will appear once data has been refreshed.
Issues from the most recent data refresh, if any.
-
MVP, Cy Young, Rookie of the Year - historical winners with their stats, plus model-predicted current-season winners.
Predictions from the current 2026 projection model. Top candidates per award based on projected fantasy points + advanced-stat underlying. League assignment from current team.
Coaching rosters for every MLB team plus a multi-year Fantasy Points Above Average ranking of every MLB coach.
Findings article + all-time top-100 performer leaderboard from every World Baseball Classic (2006-2026).
A growing collection of fantasy baseball studies. Each card opens a detail page with the methodology, the data sources, and (where the data exists today) live computed findings.
Active player injuries, refreshed from upstream sources.
| Player | Team | Pos | Status | Explanation | Replacement |
|---|
Enter players for each side, one per line. Values use your scoring weights and injury-adjusted projections.
| Player | Pos | ProjPts | Status |
|---|
| Player | Pos | ProjPts | Status |
|---|
Every signal, formula, and data source the model uses for player evaluation - organized by product.
Configure your draft session. This stays on this device only.